Overview

Dataset statistics

Number of variables75
Number of observations239
Missing cells1755
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory140.2 KiB
Average record size in memory600.5 B

Variable types

DateTime4
Numeric21
Categorical47
Unsupported3

Warnings

ndep_notif has constant value "SANTANDER" Constant
nmun_notif has constant value "BUCARAMANGA" Constant
num_ide_ has a high cardinality: 230 distinct values High cardinality
semana is highly correlated with nregHigh correlation
edad_ is highly correlated with cir_adic_1High correlation
cod_dpto_o is highly correlated with cod_dpto_r and 1 other fieldsHigh correlation
cod_mun_o is highly correlated with cod_mun_r and 1 other fieldsHigh correlation
gp_discapa is highly correlated with gp_desplazHigh correlation
gp_desplaz is highly correlated with gp_discapaHigh correlation
sem_ges_ is highly correlated with cir_adic_1High correlation
cod_dpto_r is highly correlated with cod_dpto_o and 1 other fieldsHigh correlation
cod_mun_r is highly correlated with cod_mun_oHigh correlation
pte_remtda is highly correlated with cir_adic_1High correlation
codinst_r1 is highly correlated with cod_dpto_o and 1 other fieldsHigh correlation
tiem_remis is highly correlated with falla_cereHigh correlation
num_gestac is highly correlated with num_vivosHigh correlation
num_cesare is highly correlated with cir_adic_1High correlation
num_molas is highly correlated with num_ectopi and 1 other fieldsHigh correlation
num_ectopi is highly correlated with num_molas and 1 other fieldsHigh correlation
num_muerto is highly correlated with num_molas and 1 other fieldsHigh correlation
num_vivos is highly correlated with num_gestacHigh correlation
no_con_pre is highly correlated with sem_c_prenHigh correlation
sem_c_pren is highly correlated with no_con_preHigh correlation
term_gesta is highly correlated with cir_adic_1High correlation
falla_card is highly correlated with ttl_criter and 1 other fieldsHigh correlation
falla_cere is highly correlated with tiem_remisHigh correlation
falla_coag is highly correlated with cir_adic_1High correlation
preclampsi is highly correlated with hemorragia_obstétrica_severa and 1 other fieldsHigh correlation
hemorragia_obstétrica_severa is highly correlated with preclampsiHigh correlation
ttl_criter is highly correlated with falla_cardHigh correlation
cir_adic_1 is highly correlated with edad_ and 8 other fieldsHigh correlation
egreso is highly correlated with cir_adic_1High correlation
caus_agrup is highly correlated with preclampsiHigh correlation
nreg is highly correlated with semanaHigh correlation
cod_pre is highly correlated with ocupacion_High correlation
edad_ is highly correlated with cir_adic_1High correlation
cod_dpto_o is highly correlated with cod_dpto_r and 1 other fieldsHigh correlation
cod_mun_o is highly correlated with cod_mun_r and 1 other fieldsHigh correlation
ocupacion_ is highly correlated with cod_pre and 1 other fieldsHigh correlation
gp_discapa is highly correlated with gp_desplazHigh correlation
gp_desplaz is highly correlated with gp_discapaHigh correlation
gp_gestan is highly correlated with cir_adic_1High correlation
sem_ges_ is highly correlated with cir_adic_1High correlation
gp_otros is highly correlated with ocupacion_ and 1 other fieldsHigh correlation
cod_dpto_r is highly correlated with cod_dpto_o and 1 other fieldsHigh correlation
cod_mun_r is highly correlated with cod_mun_oHigh correlation
pte_remtda is highly correlated with cir_adic_1High correlation
codinst_r1 is highly correlated with cod_dpto_o and 1 other fieldsHigh correlation
tiem_remis is highly correlated with falla_cereHigh correlation
num_gestac is highly correlated with num_vivosHigh correlation
num_cesare is highly correlated with cir_adic_1High correlation
num_vivos is highly correlated with num_gestacHigh correlation
no_con_pre is highly correlated with sem_c_pren and 1 other fieldsHigh correlation
sem_c_pren is highly correlated with no_con_preHigh correlation
term_gesta is highly correlated with cir_adic_1High correlation
falla_card is highly correlated with ttl_criterHigh correlation
falla_cere is highly correlated with tiem_remisHigh correlation
preclampsi is highly correlated with hemorragia_obstétrica_severa and 1 other fieldsHigh correlation
hemorragia_obstétrica_severa is highly correlated with preclampsi and 1 other fieldsHigh correlation
ttl_criter is highly correlated with falla_card and 1 other fieldsHigh correlation
cir_adic_1 is highly correlated with edad_ and 10 other fieldsHigh correlation
egreso is highly correlated with cir_adic_1High correlation
caus_agrup is highly correlated with preclampsi and 1 other fieldsHigh correlation
cod_pre is highly correlated with ocupacion_ and 1 other fieldsHigh correlation
edad_ is highly correlated with cir_adic_1High correlation
cod_dpto_o is highly correlated with cod_dpto_rHigh correlation
cod_mun_o is highly correlated with cod_mun_rHigh correlation
ocupacion_ is highly correlated with cod_pre and 1 other fieldsHigh correlation
gp_discapa is highly correlated with gp_desplazHigh correlation
gp_desplaz is highly correlated with gp_discapaHigh correlation
sem_ges_ is highly correlated with cir_adic_1High correlation
gp_otros is highly correlated with ocupacion_High correlation
cod_dpto_r is highly correlated with cod_dpto_oHigh correlation
cod_mun_r is highly correlated with cod_mun_oHigh correlation
pte_remtda is highly correlated with cir_adic_1High correlation
tiem_remis is highly correlated with falla_cereHigh correlation
num_gestac is highly correlated with num_vivosHigh correlation
num_cesare is highly correlated with cir_adic_1High correlation
num_vivos is highly correlated with num_gestacHigh correlation
no_con_pre is highly correlated with sem_c_prenHigh correlation
sem_c_pren is highly correlated with no_con_preHigh correlation
term_gesta is highly correlated with cir_adic_1High correlation
falla_card is highly correlated with ttl_criterHigh correlation
falla_cere is highly correlated with tiem_remisHigh correlation
preclampsi is highly correlated with hemorragia_obstétrica_severa and 1 other fieldsHigh correlation
hemorragia_obstétrica_severa is highly correlated with preclampsiHigh correlation
ttl_criter is highly correlated with falla_cardHigh correlation
cir_adic_1 is highly correlated with cod_pre and 6 other fieldsHigh correlation
egreso is highly correlated with cir_adic_1High correlation
caus_agrup is highly correlated with preclampsiHigh correlation
num_cesare is highly correlated with term_gesta and 4 other fieldsHigh correlation
term_gesta is highly correlated with num_cesare and 7 other fieldsHigh correlation
pte_remtda is highly correlated with nmun_proce and 7 other fieldsHigh correlation
cod_dpto_r is highly correlated with nmun_proce and 10 other fieldsHigh correlation
nmun_proce is highly correlated with pte_remtda and 16 other fieldsHigh correlation
tip_ss_ is highly correlated with caus_asoc1 and 9 other fieldsHigh correlation
edad_ is highly correlated with tip_ide_ and 3 other fieldsHigh correlation
cir_adicio is highly correlated with caus_asoc1 and 4 other fieldsHigh correlation
hemorragia_obstétrica_severa is highly correlated with caus_asoc1 and 6 other fieldsHigh correlation
falla_cere is highly correlated with tiem_remis and 4 other fieldsHigh correlation
sem_ges_ is highly correlated with term_gesta and 7 other fieldsHigh correlation
falla_card is highly correlated with caus_asoc1 and 4 other fieldsHigh correlation
nreg is highly correlated with caus_asoc1 and 3 other fieldsHigh correlation
ajuste_ is highly correlated with fec_aju_ and 2 other fieldsHigh correlation
cod_pre is highly correlated with cod_dpto_r and 5 other fieldsHigh correlation
caus_asoc1 is highly correlated with num_cesare and 45 other fieldsHigh correlation
tiem_remis is highly correlated with tip_ss_ and 11 other fieldsHigh correlation
cod_sub is highly correlated with cir_adicio and 2 other fieldsHigh correlation
no_con_pre is highly correlated with caus_asoc1 and 5 other fieldsHigh correlation
area_ is highly correlated with nmun_proce and 7 other fieldsHigh correlation
num_muerto is highly correlated with nmun_proce and 3 other fieldsHigh correlation
choq_septi is highly correlated with caus_asoc1 and 3 other fieldsHigh correlation
semana is highly correlated with nreg and 3 other fieldsHigh correlation
falla_resp is highly correlated with caus_asoc1 and 5 other fieldsHigh correlation
caus_agrup is highly correlated with hemorragia_obstétrica_severa and 7 other fieldsHigh correlation
num_ectopi is highly correlated with sem_ges_ and 6 other fieldsHigh correlation
ndep_resi is highly correlated with cod_dpto_r and 11 other fieldsHigh correlation
gp_gestan is highly correlated with caus_asoc1 and 3 other fieldsHigh correlation
ttl_criter is highly correlated with nmun_proce and 14 other fieldsHigh correlation
eclampsia is highly correlated with caus_asoc1 and 3 other fieldsHigh correlation
cod_mun_o is highly correlated with cod_dpto_r and 12 other fieldsHigh correlation
codinst_r1 is highly correlated with cod_dpto_r and 8 other fieldsHigh correlation
ocupacion_ is highly correlated with caus_asoc1 and 2 other fieldsHigh correlation
fuente is highly correlated with caus_princ and 1 other fieldsHigh correlation
estrato_ is highly correlated with caus_asoc1 and 3 other fieldsHigh correlation
gp_desplaz is highly correlated with cod_pre and 2 other fieldsHigh correlation
gp_otros is highly correlated with pte_remtda and 7 other fieldsHigh correlation
sem_c_pren is highly correlated with caus_asoc1 and 4 other fieldsHigh correlation
egreso is highly correlated with caus_asoc1 and 7 other fieldsHigh correlation
fec_aju_ is highly correlated with pte_remtda and 30 other fieldsHigh correlation
preclampsi is highly correlated with hemorragia_obstétrica_severa and 7 other fieldsHigh correlation
num_aborto is highly correlated with caus_asoc1 and 3 other fieldsHigh correlation
num_molas is highly correlated with term_gesta and 4 other fieldsHigh correlation
cod_mun_r is highly correlated with cod_dpto_r and 13 other fieldsHigh correlation
pac_hos_ is highly correlated with cod_pre and 2 other fieldsHigh correlation
falla_hepa is highly correlated with ttl_criter and 1 other fieldsHigh correlation
inst_refe1 is highly correlated with num_cesare and 29 other fieldsHigh correlation
ndep_proce is highly correlated with cod_dpto_r and 9 other fieldsHigh correlation
cod_dpto_o is highly correlated with cod_dpto_r and 9 other fieldsHigh correlation
tip_ide_ is highly correlated with term_gesta and 9 other fieldsHigh correlation
caus_princ is highly correlated with term_gesta and 21 other fieldsHigh correlation
moc_rel_tg is highly correlated with caus_asoc1 and 2 other fieldsHigh correlation
dias_hospi is highly correlated with falla_cere and 2 other fieldsHigh correlation
gp_migrant is highly correlated with tip_ss_ and 5 other fieldsHigh correlation
nmun_resi is highly correlated with cod_dpto_r and 16 other fieldsHigh correlation
caus_asoc2 is highly correlated with num_cesare and 45 other fieldsHigh correlation
cir_adic_1 is highly correlated with term_gesta and 24 other fieldsHigh correlation
num_gestac is highly correlated with caus_asoc1 and 8 other fieldsHigh correlation
cod_ase_ is highly correlated with pte_remtda and 11 other fieldsHigh correlation
num_parvag is highly correlated with fec_aju_ and 4 other fieldsHigh correlation
nombre_nacionalidad is highly correlated with tip_ss_ and 6 other fieldsHigh correlation
num_vivos is highly correlated with num_cesare and 6 other fieldsHigh correlation
falla_coag is highly correlated with caus_asoc1 and 6 other fieldsHigh correlation
gp_discapa is highly correlated with cod_pre and 2 other fieldsHigh correlation
falla_rena is highly correlated with caus_asoc1 and 4 other fieldsHigh correlation
cod_ase_ has 47 (19.7%) missing values Missing
estrato_ has 145 (60.7%) missing values Missing
sem_ges_ has 59 (24.7%) missing values Missing
codinst_r1 has 176 (73.6%) missing values Missing
inst_refe1 has 175 (73.2%) missing values Missing
tiem_remis has 176 (73.6%) missing values Missing
cir_adic_1 has 230 (96.2%) missing values Missing
egreso has 53 (22.2%) missing values Missing
caus_asoc1 has 206 (86.2%) missing values Missing
caus_asoc2 has 233 (97.5%) missing values Missing
caus_asoc3 has 237 (99.2%) missing values Missing
ndep_notif has 9 (3.8%) missing values Missing
nmun_notif has 9 (3.8%) missing values Missing
num_ide_ is uniformly distributed Uniform
caus_asoc2 is uniformly distributed Uniform
caus_asoc3 is uniformly distributed Uniform
nreg has unique values Unique
fec_hos_ is an unsupported type, check if it needs cleaning or further analysis Unsupported
fec_ul_ges is an unsupported type, check if it needs cleaning or further analysis Unsupported
fec_egreso is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_parvag has 140 (58.6%) zeros Zeros
num_vivos has 56 (23.4%) zeros Zeros
no_con_pre has 121 (50.6%) zeros Zeros
sem_c_pren has 121 (50.6%) zeros Zeros
dias_hospi has 65 (27.2%) zeros Zeros

Reproduction

Analysis started2021-07-10 23:46:40.739198
Analysis finished2021-07-10 23:48:19.361216
Duration1 minute and 38.62 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

Distinct105
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2021-01-03 00:00:00
Maximum2021-06-23 00:00:00
Histogram with fixed size bins (bins=50)

semana
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct25
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.90794979
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile3
Q18
median16
Q320
95-th percentile24
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.545244889
Coefficient of variation (CV)0.4706117715
Kurtosis-1.139165219
Mean13.90794979
Median Absolute Deviation (MAD)5
Skewness-0.232138938
Sum3324
Variance42.84023065
MonotonicityNot monotonic
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1623
 
9.6%
2021
 
8.8%
2114
 
5.9%
614
 
5.9%
813
 
5.4%
1712
 
5.0%
1912
 
5.0%
1011
 
4.6%
711
 
4.6%
2211
 
4.6%
Other values (15)97
40.6%
ValueCountFrequency (%)
15
 
2.1%
24
 
1.7%
36
2.5%
44
 
1.7%
510
4.2%
614
5.9%
711
4.6%
813
5.4%
97
2.9%
1011
4.6%
ValueCountFrequency (%)
253
 
1.3%
2410
4.2%
234
 
1.7%
2211
4.6%
2114
5.9%
2021
8.8%
1912
5.0%
1810
4.2%
1712
5.0%
1623
9.6%

cod_pre
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6784173951
Minimum2001100572
Maximum7600103359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum2001100572
5-th percentile6800100431
Q16800100431
median6800100792
Q36800100792
95-th percentile6800101157
Maximum7600103359
Range5599002787
Interquartile range (IQR)361

Descriptive statistics

Standard deviation314996833.8
Coefficient of variation (CV)0.04643112575
Kurtosis226.2295223
Mean6784173951
Median Absolute Deviation (MAD)361
Skewness-14.76073351
Sum1.621417574 × 1012
Variance9.922300533 × 1016
MonotonicityNot monotonic
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
680010079291
38.1%
680010043185
35.6%
680010115732
 
13.4%
680010070121
 
8.8%
68276002893
 
1.3%
68276016663
 
1.3%
68001034181
 
0.4%
76001033591
 
0.4%
68276007171
 
0.4%
20011005721
 
0.4%
ValueCountFrequency (%)
20011005721
 
0.4%
680010043185
35.6%
680010070121
 
8.8%
680010079291
38.1%
680010115732
 
13.4%
68001034181
 
0.4%
68276002893
 
1.3%
68276007171
 
0.4%
68276016663
 
1.3%
76001033591
 
0.4%
ValueCountFrequency (%)
76001033591
 
0.4%
68276016663
 
1.3%
68276007171
 
0.4%
68276002893
 
1.3%
68001034181
 
0.4%
680010115732
 
13.4%
680010079291
38.1%
680010070121
 
8.8%
680010043185
35.6%
20011005721
 
0.4%

cod_sub
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
232 
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1232
97.1%
27
 
2.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1232
97.1%
27
 
2.9%

Most occurring characters

ValueCountFrequency (%)
1232
97.1%
27
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1232
97.1%
27
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1232
97.1%
27
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1232
97.1%
27
 
2.9%

tip_ide_
Categorical

HIGH CORRELATION

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
CC
182 
CE
35 
TI
 
12
AS
 
6
MS
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters478
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st rowCC
2nd rowCC
3rd rowCC
4th rowCC
5th rowCC

Common Values

ValueCountFrequency (%)
CC182
76.2%
CE35
 
14.6%
TI12
 
5.0%
AS6
 
2.5%
MS3
 
1.3%
PA1
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
cc182
76.2%
ce35
 
14.6%
ti12
 
5.0%
as6
 
2.5%
ms3
 
1.3%
pa1
 
0.4%

Most occurring characters

ValueCountFrequency (%)
C399
83.5%
E35
 
7.3%
T12
 
2.5%
I12
 
2.5%
S9
 
1.9%
A7
 
1.5%
M3
 
0.6%
P1
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter478
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C399
83.5%
E35
 
7.3%
T12
 
2.5%
I12
 
2.5%
S9
 
1.9%
A7
 
1.5%
M3
 
0.6%
P1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Latin478
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C399
83.5%
E35
 
7.3%
T12
 
2.5%
I12
 
2.5%
S9
 
1.9%
A7
 
1.5%
M3
 
0.6%
P1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C399
83.5%
E35
 
7.3%
T12
 
2.5%
I12
 
2.5%
S9
 
1.9%
A7
 
1.5%
M3
 
0.6%
P1
 
0.2%

num_ide_
Categorical

HIGH CARDINALITY
UNIFORM

Distinct230
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1092360630
 
2
1098830101
 
2
1097667397
 
2
1094779019
 
2
1065239617
 
2
Other values (225)
229 

Length

Max length18
Median length10
Mean length10.0041841
Min length8

Characters and Unicode

Total characters2391
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)92.5%

Sample

1st row1095826018
2nd row1005136505
3rd row1095906344
4th row1098613513
5th row1098788039

Common Values

ValueCountFrequency (%)
10923606302
 
0.8%
10988301012
 
0.8%
10976673972
 
0.8%
10947790192
 
0.8%
10652396172
 
0.8%
VEN213569322
 
0.8%
10953017772
 
0.8%
10986088652
 
0.8%
VEN207586702
 
0.8%
635575301
 
0.4%
Other values (220)220
92.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
10652396172
 
0.8%
10988301012
 
0.8%
10947790192
 
0.8%
10923606302
 
0.8%
10976673972
 
0.8%
ven207586702
 
0.8%
10986088652
 
0.8%
10953017772
 
0.8%
ven213569322
 
0.8%
635440381
 
0.4%
Other values (220)220
92.1%

Most occurring characters

ValueCountFrequency (%)
1372
15.6%
0347
14.5%
9245
10.2%
6208
8.7%
2206
8.6%
7189
7.9%
8183
7.7%
5182
7.6%
3177
7.4%
4147
 
6.1%
Other values (5)135
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2256
94.4%
Uppercase Letter135
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1372
16.5%
0347
15.4%
9245
10.9%
6208
9.2%
2206
9.1%
7189
8.4%
8183
8.1%
5182
8.1%
3177
7.8%
4147
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
E45
33.3%
V44
32.6%
N44
32.6%
P1
 
0.7%
R1
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common2256
94.4%
Latin135
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1372
16.5%
0347
15.4%
9245
10.9%
6208
9.2%
2206
9.1%
7189
8.4%
8183
8.1%
5182
8.1%
3177
7.8%
4147
 
6.5%
Latin
ValueCountFrequency (%)
E45
33.3%
V44
32.6%
N44
32.6%
P1
 
0.7%
R1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII2391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1372
15.6%
0347
14.5%
9245
10.2%
6208
8.7%
2206
8.6%
7189
7.9%
8183
7.7%
5182
7.6%
3177
7.4%
4147
 
6.1%
Other values (5)135
 
5.6%

edad_
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct31
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.71966527
Minimum14
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum14
5-th percentile17
Q122
median27
Q333
95-th percentile40
Maximum46
Range32
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.08775058
Coefficient of variation (CV)0.2556939455
Kurtosis-0.7601017096
Mean27.71966527
Median Absolute Deviation (MAD)6
Skewness0.1494105061
Sum6625
Variance50.23620829
MonotonicityNot monotonic
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2016
 
6.7%
2514
 
5.9%
3414
 
5.9%
3314
 
5.9%
3214
 
5.9%
2613
 
5.4%
3012
 
5.0%
2311
 
4.6%
3511
 
4.6%
2910
 
4.2%
Other values (21)110
46.0%
ValueCountFrequency (%)
143
 
1.3%
154
 
1.7%
163
 
1.3%
175
 
2.1%
188
3.3%
197
2.9%
2016
6.7%
2110
4.2%
2210
4.2%
2311
4.6%
ValueCountFrequency (%)
461
 
0.4%
433
 
1.3%
422
 
0.8%
414
 
1.7%
404
 
1.7%
394
 
1.7%
382
 
0.8%
374
 
1.7%
367
2.9%
3511
4.6%

nombre_nacionalidad
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
COLOMBIA
196 
VENEZUELA
43 

Length

Max length9
Median length8
Mean length8.179916318
Min length8

Characters and Unicode

Total characters1955
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCOLOMBIA
2nd rowCOLOMBIA
3rd rowCOLOMBIA
4th rowCOLOMBIA
5th rowCOLOMBIA

Common Values

ValueCountFrequency (%)
COLOMBIA196
82.0%
VENEZUELA43
 
18.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
colombia196
82.0%
venezuela43
 
18.0%

Most occurring characters

ValueCountFrequency (%)
O392
20.1%
L239
12.2%
A239
12.2%
C196
10.0%
M196
10.0%
B196
10.0%
I196
10.0%
E129
 
6.6%
V43
 
2.2%
N43
 
2.2%
Other values (2)86
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1955
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O392
20.1%
L239
12.2%
A239
12.2%
C196
10.0%
M196
10.0%
B196
10.0%
I196
10.0%
E129
 
6.6%
V43
 
2.2%
N43
 
2.2%
Other values (2)86
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
Latin1955
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O392
20.1%
L239
12.2%
A239
12.2%
C196
10.0%
M196
10.0%
B196
10.0%
I196
10.0%
E129
 
6.6%
V43
 
2.2%
N43
 
2.2%
Other values (2)86
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O392
20.1%
L239
12.2%
A239
12.2%
C196
10.0%
M196
10.0%
B196
10.0%
I196
10.0%
E129
 
6.6%
V43
 
2.2%
N43
 
2.2%
Other values (2)86
 
4.4%

cod_dpto_o
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.54811715
Minimum5
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum5
5-th percentile20
Q168
median68
Q368
95-th percentile68
Maximum91
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.94578168
Coefficient of variation (CV)0.2005601751
Kurtosis9.86200977
Mean64.54811715
Median Absolute Deviation (MAD)0
Skewness-3.278530297
Sum15427
Variance167.5932632
MonotonicityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
68215
90.0%
208
 
3.3%
545
 
2.1%
135
 
2.1%
812
 
0.8%
272
 
0.8%
911
 
0.4%
51
 
0.4%
ValueCountFrequency (%)
51
 
0.4%
135
 
2.1%
208
 
3.3%
272
 
0.8%
545
 
2.1%
68215
90.0%
812
 
0.8%
911
 
0.4%
ValueCountFrequency (%)
911
 
0.4%
812
 
0.8%
68215
90.0%
545
 
2.1%
272
 
0.8%
208
 
3.3%
135
 
2.1%
51
 
0.4%

cod_mun_o
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct31
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.2719665
Minimum1
Maximum893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median11
Q3307
95-th percentile688
Maximum893
Range892
Interquartile range (IQR)306

Descriptive statistics

Standard deviation246.7503018
Coefficient of variation (CV)1.20206527
Kurtosis-0.4327068095
Mean205.2719665
Median Absolute Deviation (MAD)10
Skewness0.8829928426
Sum49060
Variance60885.71144
MonotonicityNot monotonic
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1117
49.0%
27630
 
12.6%
30725
 
10.5%
54717
 
7.1%
115
 
2.1%
6884
 
1.7%
6554
 
1.7%
813
 
1.3%
6793
 
1.3%
4063
 
1.3%
Other values (21)28
 
11.7%
ValueCountFrequency (%)
1117
49.0%
115
 
2.1%
813
 
1.3%
1282
 
0.8%
1692
 
0.8%
1901
 
0.4%
2501
 
0.4%
2551
 
0.4%
27630
 
12.6%
30725
 
10.5%
ValueCountFrequency (%)
8931
 
0.4%
8551
 
0.4%
8201
 
0.4%
7801
 
0.4%
7731
 
0.4%
7431
 
0.4%
7103
1.3%
6891
 
0.4%
6884
1.7%
6793
1.3%

area_
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
209 
3
29 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row3
2nd row1
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1209
87.4%
329
 
12.1%
21
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1209
87.4%
329
 
12.1%
21
 
0.4%

Most occurring characters

ValueCountFrequency (%)
1209
87.4%
329
 
12.1%
21
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1209
87.4%
329
 
12.1%
21
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1209
87.4%
329
 
12.1%
21
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1209
87.4%
329
 
12.1%
21
 
0.4%

ocupacion_
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9853.933054
Minimum2611
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum2611
5-th percentile9950
Q19996
median9996
Q39999
95-th percentile9999
Maximum9999
Range7388
Interquartile range (IQR)3

Descriptive statistics

Standard deviation921.4089388
Coefficient of variation (CV)0.09350671795
Kurtosis44.54791348
Mean9853.933054
Median Absolute Deviation (MAD)3
Skewness-6.694858247
Sum2355090
Variance848994.4325
MonotonicityNot monotonic
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9999114
47.7%
9996108
45.2%
995010
 
4.2%
33431
 
0.4%
43111
 
0.4%
32211
 
0.4%
75331
 
0.4%
26111
 
0.4%
99971
 
0.4%
51201
 
0.4%
ValueCountFrequency (%)
26111
 
0.4%
32211
 
0.4%
33431
 
0.4%
43111
 
0.4%
51201
 
0.4%
75331
 
0.4%
995010
 
4.2%
9996108
45.2%
99971
 
0.4%
9999114
47.7%
ValueCountFrequency (%)
9999114
47.7%
99971
 
0.4%
9996108
45.2%
995010
 
4.2%
75331
 
0.4%
51201
 
0.4%
43111
 
0.4%
33431
 
0.4%
32211
 
0.4%
26111
 
0.4%

tip_ss_
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
S
107 
C
80 
N
47 
P
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowC
4th rowS
5th rowC

Common Values

ValueCountFrequency (%)
S107
44.8%
C80
33.5%
N47
19.7%
P5
 
2.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
s107
44.8%
c80
33.5%
n47
19.7%
p5
 
2.1%

Most occurring characters

ValueCountFrequency (%)
S107
44.8%
C80
33.5%
N47
19.7%
P5
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter239
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S107
44.8%
C80
33.5%
N47
19.7%
P5
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Latin239
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
S107
44.8%
C80
33.5%
N47
19.7%
P5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S107
44.8%
C80
33.5%
N47
19.7%
P5
 
2.1%

cod_ase_
Categorical

HIGH CORRELATION
MISSING

Distinct26
Distinct (%)13.5%
Missing47
Missing (%)19.7%
Memory size2.0 KiB
ESS133
34 
ESS024
31 
EPS005
18 
EPSS41
15 
EPS002
14 
Other values (21)
80 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters1152
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)3.1%

Sample

1st rowESS062
2nd rowESS024
3rd rowEPS005
4th rowESS024
5th rowEPS037

Common Values

ValueCountFrequency (%)
ESS13334
14.2%
ESS02431
13.0%
EPS00518
 
7.5%
EPSS4115
 
6.3%
EPS00214
 
5.9%
EPS01011
 
4.6%
ESS06210
 
4.2%
EPS01610
 
4.2%
EPS0179
 
3.8%
EPS0467
 
2.9%
Other values (16)33
13.8%
(Missing)47
19.7%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
ess13334
17.7%
ess02431
16.1%
eps00518
9.4%
epss4115
7.8%
eps00214
7.3%
eps01011
 
5.7%
eps01610
 
5.2%
ess06210
 
5.2%
eps0179
 
4.7%
eps0467
 
3.6%
Other values (16)33
17.2%

Most occurring characters

ValueCountFrequency (%)
S298
25.9%
E191
16.6%
0181
15.7%
P107
 
9.3%
188
 
7.6%
385
 
7.4%
263
 
5.5%
456
 
4.9%
628
 
2.4%
522
 
1.9%
Other values (5)33
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter611
53.0%
Decimal Number541
47.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0181
33.5%
188
16.3%
385
15.7%
263
 
11.6%
456
 
10.4%
628
 
5.2%
522
 
4.1%
718
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S298
48.8%
E191
31.3%
P107
 
17.5%
C6
 
1.0%
R5
 
0.8%
M3
 
0.5%
F1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Latin611
53.0%
Common541
47.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0181
33.5%
188
16.3%
385
15.7%
263
 
11.6%
456
 
10.4%
628
 
5.2%
522
 
4.1%
718
 
3.3%
Latin
ValueCountFrequency (%)
S298
48.8%
E191
31.3%
P107
 
17.5%
C6
 
1.0%
R5
 
0.8%
M3
 
0.5%
F1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S298
25.9%
E191
16.6%
0181
15.7%
P107
 
9.3%
188
 
7.6%
385
 
7.4%
263
 
5.5%
456
 
4.9%
628
 
2.4%
522
 
1.9%
Other values (5)33
 
2.9%

estrato_
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct6
Distinct (%)6.4%
Missing145
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean2.276595745
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8968793606
Coefficient of variation (CV)0.3939563547
Kurtosis5.537877646
Mean2.276595745
Median Absolute Deviation (MAD)0
Skewness1.704604675
Sum214
Variance0.8043925875
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
253
 
22.2%
325
 
10.5%
112
 
5.0%
62
 
0.8%
51
 
0.4%
41
 
0.4%
(Missing)145
60.7%
ValueCountFrequency (%)
112
 
5.0%
253
22.2%
325
10.5%
41
 
0.4%
51
 
0.4%
62
 
0.8%
ValueCountFrequency (%)
62
 
0.8%
51
 
0.4%
41
 
0.4%
325
10.5%
253
22.2%
112
 
5.0%

gp_discapa
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
238 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring characters

ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

gp_desplaz
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
238 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring characters

ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2238
99.6%
11
 
0.4%

gp_migrant
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
196 
1
43 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2196
82.0%
143
 
18.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2196
82.0%
143
 
18.0%

Most occurring characters

ValueCountFrequency (%)
2196
82.0%
143
 
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2196
82.0%
143
 
18.0%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2196
82.0%
143
 
18.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2196
82.0%
143
 
18.0%

gp_gestan
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
180 
2
59 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1180
75.3%
259
 
24.7%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1180
75.3%
259
 
24.7%

Most occurring characters

ValueCountFrequency (%)
1180
75.3%
259
 
24.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1180
75.3%
259
 
24.7%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1180
75.3%
259
 
24.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1180
75.3%
259
 
24.7%

sem_ges_
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct30
Distinct (%)16.7%
Missing59
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean32.50555556
Minimum2
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum2
5-th percentile18
Q130.75
median35
Q337
95-th percentile40
Maximum41
Range39
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation7.363276856
Coefficient of variation (CV)0.2265236428
Kurtosis4.017962607
Mean32.50555556
Median Absolute Deviation (MAD)3
Skewness-1.901373293
Sum5851
Variance54.21784606
MonotonicityNot monotonic
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3725
10.5%
3618
 
7.5%
3517
 
7.1%
3814
 
5.9%
3913
 
5.4%
3212
 
5.0%
4010
 
4.2%
349
 
3.8%
319
 
3.8%
337
 
2.9%
Other values (20)46
19.2%
(Missing)59
24.7%
ValueCountFrequency (%)
21
 
0.4%
31
 
0.4%
61
 
0.4%
81
 
0.4%
101
 
0.4%
121
 
0.4%
132
0.8%
183
1.3%
192
0.8%
201
 
0.4%
ValueCountFrequency (%)
411
 
0.4%
4010
 
4.2%
3913
5.4%
3814
5.9%
3725
10.5%
3618
7.5%
3517
7.1%
349
 
3.8%
337
 
2.9%
3212
5.0%

gp_otros
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
148 
2
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1148
61.9%
291
38.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1148
61.9%
291
38.1%

Most occurring characters

ValueCountFrequency (%)
1148
61.9%
291
38.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1148
61.9%
291
38.1%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1148
61.9%
291
38.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1148
61.9%
291
38.1%

fuente
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
235 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1235
98.3%
24
 
1.7%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1235
98.3%
24
 
1.7%

Most occurring characters

ValueCountFrequency (%)
1235
98.3%
24
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1235
98.3%
24
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1235
98.3%
24
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1235
98.3%
24
 
1.7%

cod_dpto_r
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.58995816
Minimum5
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum5
5-th percentile20
Q168
median68
Q368
95-th percentile68
Maximum91
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.96793329
Coefficient of variation (CV)0.2007732108
Kurtosis9.819637092
Mean64.58995816
Median Absolute Deviation (MAD)0
Skewness-3.268446142
Sum15437
Variance168.1672937
MonotonicityNot monotonic
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
68213
89.1%
208
 
3.3%
545
 
2.1%
135
 
2.1%
812
 
0.8%
272
 
0.8%
911
 
0.4%
761
 
0.4%
701
 
0.4%
51
 
0.4%
ValueCountFrequency (%)
51
 
0.4%
135
 
2.1%
208
 
3.3%
272
 
0.8%
545
 
2.1%
68213
89.1%
701
 
0.4%
761
 
0.4%
812
 
0.8%
911
 
0.4%
ValueCountFrequency (%)
911
 
0.4%
812
 
0.8%
761
 
0.4%
701
 
0.4%
68213
89.1%
545
 
2.1%
272
 
0.8%
208
 
3.3%
135
 
2.1%
51
 
0.4%

cod_mun_r
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct32
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.6276151
Minimum1
Maximum895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median11
Q3307
95-th percentile688
Maximum895
Range894
Interquartile range (IQR)306

Descriptive statistics

Standard deviation248.9038647
Coefficient of variation (CV)1.216374753
Kurtosis-0.3575105551
Mean204.6276151
Median Absolute Deviation (MAD)10
Skewness0.9142233604
Sum48906
Variance61953.13386
MonotonicityNot monotonic
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1118
49.4%
27628
 
11.7%
30725
 
10.5%
54717
 
7.1%
115
 
2.1%
6884
 
1.7%
6554
 
1.7%
4063
 
1.3%
813
 
1.3%
7103
 
1.3%
Other values (22)29
 
12.1%
ValueCountFrequency (%)
1118
49.4%
115
 
2.1%
813
 
1.3%
1282
 
0.8%
1671
 
0.4%
1692
 
0.8%
1901
 
0.4%
2501
 
0.4%
2551
 
0.4%
27628
 
11.7%
ValueCountFrequency (%)
8951
 
0.4%
8931
 
0.4%
8551
 
0.4%
8201
 
0.4%
7801
 
0.4%
7431
 
0.4%
7103
1.3%
6891
 
0.4%
6884
1.7%
6793
1.3%
Distinct131
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2020-01-24 00:00:00
Maximum2021-06-22 00:00:00
Histogram with fixed size bins (bins=50)

pac_hos_
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
237 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1237
99.2%
22
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1237
99.2%
22
 
0.8%

Most occurring characters

ValueCountFrequency (%)
1237
99.2%
22
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1237
99.2%
22
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1237
99.2%
22
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1237
99.2%
22
 
0.8%

fec_hos_
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size2.0 KiB

ajuste_
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
158 
7
77 
6
 
2
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
0158
66.1%
777
32.2%
62
 
0.8%
D2
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0158
66.1%
777
32.2%
62
 
0.8%
d2
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0158
66.1%
777
32.2%
62
 
0.8%
D2
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number237
99.2%
Uppercase Letter2
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0158
66.7%
777
32.5%
62
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
D2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common237
99.2%
Latin2
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0158
66.7%
777
32.5%
62
 
0.8%
Latin
ValueCountFrequency (%)
D2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0158
66.1%
777
32.2%
62
 
0.8%
D2
 
0.8%
Distinct229
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1974-09-14 00:00:00
Maximum2007-01-02 00:00:00
Histogram with fixed size bins (bins=50)

fec_aju_
Date

HIGH CORRELATION

Distinct89
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2021-01-03 00:00:00
Maximum2021-06-23 00:00:00
Histogram with fixed size bins (bins=50)

pte_remtda
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
176 
1
63 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2176
73.6%
163
 
26.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2176
73.6%
163
 
26.4%

Most occurring characters

ValueCountFrequency (%)
2176
73.6%
163
 
26.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2176
73.6%
163
 
26.4%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2176
73.6%
163
 
26.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2176
73.6%
163
 
26.4%

codinst_r1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct40
Distinct (%)63.5%
Missing176
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean6.146567519 × 1011
Minimum1.367000076 × 1011
Maximum9.100100019 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1.367000076 × 1011
5-th percentile1.437070457 × 1011
Q16.800100701 × 1011
median6.808100797 × 1011
Q36.852350365 × 1011
95-th percentile6.880590788 × 1011
Maximum9.100100019 × 1011
Range7.733099943 × 1011
Interquartile range (IQR)5224966350

Descriptive statistics

Standard deviation1.766094228 × 1011
Coefficient of variation (CV)0.2873301598
Kurtosis2.931177335
Mean6.146567519 × 1011
Median Absolute Deviation (MAD)2259992316
Skewness-2.044391683
Sum3.872337537 × 1013
Variance3.119088821 × 1022
MonotonicityNot monotonic
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6.800100701 × 101110
 
4.2%
6.827600717 × 10115
 
2.1%
6.827600717 × 10113
 
1.3%
6.800100701 × 10113
 
1.3%
6.867900973 × 10112
 
0.8%
6.800100431 × 10112
 
0.8%
6.854768008 × 10112
 
0.8%
6.83070072 × 10112
 
0.8%
6.854700001 × 10112
 
0.8%
5.449800547 × 10112
 
0.8%
Other values (30)30
 
12.6%
(Missing)176
73.6%
ValueCountFrequency (%)
1.367000076 × 10111
0.4%
1.368800003 × 10111
0.4%
1.374400032 × 10111
0.4%
1.374400494 × 10111
0.4%
2.001100126 × 10111
0.4%
2.001100126 × 10111
0.4%
2.0011126 × 10111
0.4%
2.071000005 × 10111
0.4%
5.412800641 × 10111
0.4%
5.449800547 × 10112
0.8%
ValueCountFrequency (%)
9.100100019 × 10111
0.4%
6.8895 × 10111
0.4%
6.882000767 × 10111
0.4%
6.882000767 × 10111
0.4%
6.867900973 × 10112
0.8%
6.867900793 × 10111
0.4%
6.867900736 × 10111
0.4%
6.865502512 × 10111
0.4%
6.857500733 × 10111
0.4%
6.854768008 × 10112
0.8%

inst_refe1
Categorical

HIGH CORRELATION
MISSING

Distinct36
Distinct (%)56.2%
Missing175
Missing (%)73.2%
Memory size2.0 KiB
HOSPITAL LOCAL DEL NORTE
10 
ESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA
HOSPITAL LOCAL DE PIEDECUESTA
ESE HOSPITAL SAN JUAN DE DIOS
UIMIST
 
3
Other values (31)
38 

Length

Max length50
Median length29
Mean length30.421875
Min length6

Characters and Unicode

Total characters1947
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)37.5%

Sample

1st rowESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA
2nd rowHOSPITAL LOCAL DEL NORTE
3rd rowHOSPITAL LOCAL DE AGUACHICA ESE
4th rowHOSPITAL LOCAL DEL NORTE
5th rowHOSPITAL LOCAL DE PIEDECUESTA

Common Values

ValueCountFrequency (%)
HOSPITAL LOCAL DEL NORTE10
 
4.2%
ESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA5
 
2.1%
HOSPITAL LOCAL DE PIEDECUESTA4
 
1.7%
ESE HOSPITAL SAN JUAN DE DIOS4
 
1.7%
UIMIST3
 
1.3%
HOSPITAL LOCAL DE AGUACHICA ESE2
 
0.8%
HOSPITAL REGIONAL DE SAN GIL2
 
0.8%
CLINICA DE LA POLICIA2
 
0.8%
IPS CENTRO DE SALUD TONA2
 
0.8%
ESE HOSPITAL SAN JUAN DE DIOS GIRON2
 
0.8%
Other values (26)28
 
11.7%
(Missing)175
73.2%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
hospital49
15.2%
de40
 
12.4%
ese29
 
9.0%
san25
 
7.8%
local18
 
5.6%
juan13
 
4.0%
dios12
 
3.7%
del12
 
3.7%
norte10
 
3.1%
regional6
 
1.9%
Other values (68)108
33.5%

Most occurring characters

ValueCountFrequency (%)
258
13.3%
A231
11.9%
E190
9.8%
L157
8.1%
S149
 
7.7%
I143
 
7.3%
O140
 
7.2%
N99
 
5.1%
D97
 
5.0%
T95
 
4.9%
Other values (17)388
19.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1684
86.5%
Space Separator258
 
13.3%
Other Punctuation5
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A231
13.7%
E190
11.3%
L157
9.3%
S149
8.8%
I143
8.5%
O140
8.3%
N99
 
5.9%
D97
 
5.8%
T95
 
5.6%
P66
 
3.9%
Other values (15)317
18.8%
Space Separator
ValueCountFrequency (%)
258
100.0%
Other Punctuation
ValueCountFrequency (%)
.5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1684
86.5%
Common263
 
13.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A231
13.7%
E190
11.3%
L157
9.3%
S149
8.8%
I143
8.5%
O140
8.3%
N99
 
5.9%
D97
 
5.8%
T95
 
5.6%
P66
 
3.9%
Other values (15)317
18.8%
Common
ValueCountFrequency (%)
258
98.1%
.5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1945
99.9%
Latin 1 Sup2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
13.3%
A231
11.9%
E190
9.8%
L157
8.1%
S149
 
7.7%
I143
 
7.4%
O140
 
7.2%
N99
 
5.1%
D97
 
5.0%
T95
 
4.9%
Other values (16)386
19.8%
Latin 1 Sup
ValueCountFrequency (%)
Ñ2
100.0%

tiem_remis
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct7
Distinct (%)11.1%
Missing176
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean25.77777778
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile1
Q130
median30
Q330
95-th percentile30
Maximum30
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.892069884
Coefficient of variation (CV)0.3837440903
Kurtosis2.084850352
Mean25.77777778
Median Absolute Deviation (MAD)0
Skewness-1.981878099
Sum1624
Variance97.85304659
MonotonicityNot monotonic
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3053
 
22.2%
15
 
2.1%
51
 
0.4%
61
 
0.4%
121
 
0.4%
21
 
0.4%
41
 
0.4%
(Missing)176
73.6%
ValueCountFrequency (%)
15
 
2.1%
21
 
0.4%
41
 
0.4%
51
 
0.4%
61
 
0.4%
121
 
0.4%
3053
22.2%
ValueCountFrequency (%)
3053
22.2%
121
 
0.4%
61
 
0.4%
51
 
0.4%
41
 
0.4%
21
 
0.4%
15
 
2.1%

num_gestac
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.284518828
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.332610882
Coefficient of variation (CV)0.5833223459
Kurtosis4.390189365
Mean2.284518828
Median Absolute Deviation (MAD)1
Skewness1.539317949
Sum546
Variance1.775851763
MonotonicityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
281
33.9%
178
32.6%
337
15.5%
429
 
12.1%
510
 
4.2%
62
 
0.8%
101
 
0.4%
71
 
0.4%
ValueCountFrequency (%)
178
32.6%
281
33.9%
337
15.5%
429
 
12.1%
510
 
4.2%
62
 
0.8%
71
 
0.4%
101
 
0.4%
ValueCountFrequency (%)
101
 
0.4%
71
 
0.4%
62
 
0.8%
510
 
4.2%
429
 
12.1%
337
15.5%
281
33.9%
178
32.6%

num_parvag
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct7
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8033472803
Minimum0
Maximum10
Zeros140
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.27311786
Coefficient of variation (CV)1.584766502
Kurtosis11.43612086
Mean0.8033472803
Median Absolute Deviation (MAD)0
Skewness2.56752767
Sum192
Variance1.620829085
MonotonicityNot monotonic
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0140
58.6%
148
 
20.1%
225
 
10.5%
318
 
7.5%
45
 
2.1%
52
 
0.8%
101
 
0.4%
ValueCountFrequency (%)
0140
58.6%
148
 
20.1%
225
 
10.5%
318
 
7.5%
45
 
2.1%
52
 
0.8%
101
 
0.4%
ValueCountFrequency (%)
101
 
0.4%
52
 
0.8%
45
 
2.1%
318
 
7.5%
225
 
10.5%
148
 
20.1%
0140
58.6%

num_cesare
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
118 
1
68 
2
38 
3
14 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row3
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
0118
49.4%
168
28.5%
238
 
15.9%
314
 
5.9%
41
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0118
49.4%
168
28.5%
238
 
15.9%
314
 
5.9%
41
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0118
49.4%
168
28.5%
238
 
15.9%
314
 
5.9%
41
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0118
49.4%
168
28.5%
238
 
15.9%
314
 
5.9%
41
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0118
49.4%
168
28.5%
238
 
15.9%
314
 
5.9%
41
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0118
49.4%
168
28.5%
238
 
15.9%
314
 
5.9%
41
 
0.4%

num_aborto
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
184 
1
40 
2
 
13
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0184
77.0%
140
 
16.7%
213
 
5.4%
32
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0184
77.0%
140
 
16.7%
213
 
5.4%
32
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0184
77.0%
140
 
16.7%
213
 
5.4%
32
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0184
77.0%
140
 
16.7%
213
 
5.4%
32
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0184
77.0%
140
 
16.7%
213
 
5.4%
32
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0184
77.0%
140
 
16.7%
213
 
5.4%
32
 
0.8%

num_molas
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
234 
2
 
3
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0234
97.9%
23
 
1.3%
12
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0234
97.9%
23
 
1.3%
12
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0234
97.9%
23
 
1.3%
12
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0234
97.9%
23
 
1.3%
12
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0234
97.9%
23
 
1.3%
12
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0234
97.9%
23
 
1.3%
12
 
0.8%

num_ectopi
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
231 
1
 
5
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0231
96.7%
15
 
2.1%
23
 
1.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0231
96.7%
15
 
2.1%
23
 
1.3%

Most occurring characters

ValueCountFrequency (%)
0231
96.7%
15
 
2.1%
23
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0231
96.7%
15
 
2.1%
23
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0231
96.7%
15
 
2.1%
23
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0231
96.7%
15
 
2.1%
23
 
1.3%

num_muerto
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
231 
1
 
6
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0231
96.7%
16
 
2.5%
22
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0231
96.7%
16
 
2.5%
22
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0231
96.7%
16
 
2.5%
22
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0231
96.7%
16
 
2.5%
22
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0231
96.7%
16
 
2.5%
22
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0231
96.7%
16
 
2.5%
22
 
0.8%

num_vivos
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.418410042
Minimum0
Maximum5
Zeros56
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.123019257
Coefficient of variation (CV)0.7917451398
Kurtosis-0.1217179504
Mean1.418410042
Median Absolute Deviation (MAD)1
Skewness0.5556235299
Sum339
Variance1.261172251
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
179
33.1%
263
26.4%
056
23.4%
332
13.4%
47
 
2.9%
52
 
0.8%
ValueCountFrequency (%)
056
23.4%
179
33.1%
263
26.4%
332
13.4%
47
 
2.9%
52
 
0.8%
ValueCountFrequency (%)
52
 
0.8%
47
 
2.9%
332
13.4%
263
26.4%
179
33.1%
056
23.4%

fec_ul_ges
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size2.0 KiB

no_con_pre
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct11
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.70292887
Minimum0
Maximum10
Zeros121
Zeros (%)50.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.143559475
Coefficient of variation (CV)1.163019682
Kurtosis-1.115851224
Mean2.70292887
Median Absolute Deviation (MAD)0
Skewness0.6248819248
Sum646
Variance9.881966176
MonotonicityNot monotonic
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0121
50.6%
622
 
9.2%
420
 
8.4%
717
 
7.1%
815
 
6.3%
515
 
6.3%
310
 
4.2%
17
 
2.9%
95
 
2.1%
24
 
1.7%
ValueCountFrequency (%)
0121
50.6%
17
 
2.9%
24
 
1.7%
310
 
4.2%
420
 
8.4%
515
 
6.3%
622
 
9.2%
717
 
7.1%
815
 
6.3%
95
 
2.1%
ValueCountFrequency (%)
103
 
1.3%
95
 
2.1%
815
6.3%
717
7.1%
622
9.2%
515
6.3%
420
8.4%
310
4.2%
24
 
1.7%
17
 
2.9%

sem_c_pren
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct28
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.849372385
Minimum0
Maximum40
Zeros121
Zeros (%)50.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile20
Maximum40
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.68786488
Coefficient of variation (CV)1.314305942
Kurtosis2.60651844
Mean5.849372385
Median Absolute Deviation (MAD)0
Skewness1.513668534
Sum1398
Variance59.10326641
MonotonicityNot monotonic
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0121
50.6%
813
 
5.4%
1213
 
5.4%
1012
 
5.0%
69
 
3.8%
77
 
2.9%
207
 
2.9%
117
 
2.9%
45
 
2.1%
55
 
2.1%
Other values (18)40
 
16.7%
ValueCountFrequency (%)
0121
50.6%
12
 
0.8%
22
 
0.8%
31
 
0.4%
45
 
2.1%
55
 
2.1%
69
 
3.8%
77
 
2.9%
813
 
5.4%
93
 
1.3%
ValueCountFrequency (%)
401
 
0.4%
361
 
0.4%
331
 
0.4%
302
 
0.8%
281
 
0.4%
261
 
0.4%
211
 
0.4%
207
2.9%
191
 
0.4%
183
1.3%

term_gesta
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
4
137 
2
49 
5
38 
1
14 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4137
57.3%
249
 
20.5%
538
 
15.9%
114
 
5.9%
31
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
4137
57.3%
249
 
20.5%
538
 
15.9%
114
 
5.9%
31
 
0.4%

Most occurring characters

ValueCountFrequency (%)
4137
57.3%
249
 
20.5%
538
 
15.9%
114
 
5.9%
31
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4137
57.3%
249
 
20.5%
538
 
15.9%
114
 
5.9%
31
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4137
57.3%
249
 
20.5%
538
 
15.9%
114
 
5.9%
31
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4137
57.3%
249
 
20.5%
538
 
15.9%
114
 
5.9%
31
 
0.4%

moc_rel_tg
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
98 
2
76 
3
65 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
198
41.0%
276
31.8%
365
27.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
198
41.0%
276
31.8%
365
27.2%

Most occurring characters

ValueCountFrequency (%)
198
41.0%
276
31.8%
365
27.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
198
41.0%
276
31.8%
365
27.2%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
198
41.0%
276
31.8%
365
27.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
41.0%
276
31.8%
365
27.2%

falla_card
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
131 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2131
54.8%
1108
45.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2131
54.8%
1108
45.2%

Most occurring characters

ValueCountFrequency (%)
2131
54.8%
1108
45.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2131
54.8%
1108
45.2%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2131
54.8%
1108
45.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2131
54.8%
1108
45.2%

falla_rena
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
216 
1
23 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring characters

ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

falla_hepa
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
194 
1
45 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2194
81.2%
145
 
18.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2194
81.2%
145
 
18.8%

Most occurring characters

ValueCountFrequency (%)
2194
81.2%
145
 
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2194
81.2%
145
 
18.8%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2194
81.2%
145
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2194
81.2%
145
 
18.8%

falla_cere
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2228
95.4%
111
 
4.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2228
95.4%
111
 
4.6%

Most occurring characters

ValueCountFrequency (%)
2228
95.4%
111
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2228
95.4%
111
 
4.6%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2228
95.4%
111
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2228
95.4%
111
 
4.6%

falla_resp
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
217 
1
22 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2217
90.8%
122
 
9.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2217
90.8%
122
 
9.2%

Most occurring characters

ValueCountFrequency (%)
2217
90.8%
122
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2217
90.8%
122
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2217
90.8%
122
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2217
90.8%
122
 
9.2%

falla_coag
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
216 
1
23 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring characters

ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2216
90.4%
123
 
9.6%

eclampsia
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2225
94.1%
114
 
5.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2225
94.1%
114
 
5.9%

Most occurring characters

ValueCountFrequency (%)
2225
94.1%
114
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2225
94.1%
114
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2225
94.1%
114
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2225
94.1%
114
 
5.9%

preclampsi
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
146 
2
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1146
61.1%
293
38.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1146
61.1%
293
38.9%

Most occurring characters

ValueCountFrequency (%)
1146
61.1%
293
38.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1146
61.1%
293
38.9%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1146
61.1%
293
38.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1146
61.1%
293
38.9%

choq_septi
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
221 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2221
92.5%
118
 
7.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2221
92.5%
118
 
7.5%

Most occurring characters

ValueCountFrequency (%)
2221
92.5%
118
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2221
92.5%
118
 
7.5%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2221
92.5%
118
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2221
92.5%
118
 
7.5%

hemorragia_obstétrica_severa
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
184 
1
55 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2184
77.0%
155
 
23.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2184
77.0%
155
 
23.0%

Most occurring characters

ValueCountFrequency (%)
2184
77.0%
155
 
23.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2184
77.0%
155
 
23.0%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2184
77.0%
155
 
23.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2184
77.0%
155
 
23.0%

cir_adicio
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
224 
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2224
93.7%
115
 
6.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
2224
93.7%
115
 
6.3%

Most occurring characters

ValueCountFrequency (%)
2224
93.7%
115
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2224
93.7%
115
 
6.3%

Most occurring scripts

ValueCountFrequency (%)
Common239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2224
93.7%
115
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2224
93.7%
115
 
6.3%

ttl_criter
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.008368201
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.004157876
Coefficient of variation (CV)0.4999869425
Kurtosis3.372193676
Mean2.008368201
Median Absolute Deviation (MAD)1
Skewness1.414332115
Sum480
Variance1.00833304
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2104
43.5%
180
33.5%
335
 
14.6%
417
 
7.1%
62
 
0.8%
71
 
0.4%
ValueCountFrequency (%)
180
33.5%
2104
43.5%
335
 
14.6%
417
 
7.1%
62
 
0.8%
71
 
0.4%
ValueCountFrequency (%)
71
 
0.4%
62
 
0.8%
417
 
7.1%
335
 
14.6%
2104
43.5%
180
33.5%

cir_adic_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4
Distinct (%)44.4%
Missing230
Missing (%)96.2%
Memory size2.0 KiB
1.0
3.0
2.0
4.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters27
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)22.2%

Sample

1st row1.0
2nd row2.0
3rd row4.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.04
 
1.7%
3.03
 
1.3%
2.01
 
0.4%
4.01
 
0.4%
(Missing)230
96.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1.04
44.4%
3.03
33.3%
2.01
 
11.1%
4.01
 
11.1%

Most occurring characters

ValueCountFrequency (%)
.9
33.3%
09
33.3%
14
14.8%
33
 
11.1%
21
 
3.7%
41
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number18
66.7%
Other Punctuation9
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
09
50.0%
14
22.2%
33
 
16.7%
21
 
5.6%
41
 
5.6%
Other Punctuation
ValueCountFrequency (%)
.9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common27
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
.9
33.3%
09
33.3%
14
14.8%
33
 
11.1%
21
 
3.7%
41
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII27
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
.9
33.3%
09
33.3%
14
14.8%
33
 
11.1%
21
 
3.7%
41
 
3.7%

fec_egreso
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size2.0 KiB

dias_hospi
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct24
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.472803347
Minimum0
Maximum125
Zeros65
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile14
Maximum125
Range125
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.563053295
Coefficient of variation (CV)2.138044656
Kurtosis107.533659
Mean4.472803347
Median Absolute Deviation (MAD)3
Skewness9.076391227
Sum1069
Variance91.45198833
MonotonicityNot monotonic
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
065
27.2%
238
15.9%
332
13.4%
418
 
7.5%
516
 
6.7%
615
 
6.3%
113
 
5.4%
712
 
5.0%
87
 
2.9%
104
 
1.7%
Other values (14)19
 
7.9%
ValueCountFrequency (%)
065
27.2%
113
 
5.4%
238
15.9%
332
13.4%
418
 
7.5%
516
 
6.7%
615
 
6.3%
712
 
5.0%
87
 
2.9%
92
 
0.8%
ValueCountFrequency (%)
1251
0.4%
371
0.4%
351
0.4%
331
0.4%
321
0.4%
251
0.4%
201
0.4%
171
0.4%
161
0.4%
151
0.4%

egreso
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)1.1%
Missing53
Missing (%)22.2%
Memory size2.0 KiB
1.0
170 
2.0
 
16

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters558
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0170
71.1%
2.016
 
6.7%
(Missing)53
 
22.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
1.0170
91.4%
2.016
 
8.6%

Most occurring characters

ValueCountFrequency (%)
.186
33.3%
0186
33.3%
1170
30.5%
216
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number372
66.7%
Other Punctuation186
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0186
50.0%
1170
45.7%
216
 
4.3%
Other Punctuation
ValueCountFrequency (%)
.186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common558
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
.186
33.3%
0186
33.3%
1170
30.5%
216
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
.186
33.3%
0186
33.3%
1170
30.5%
216
 
2.9%

caus_princ
Categorical

HIGH CORRELATION

Distinct47
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
O141
123 
O72X
34 
O149
15 
O721
 
7
O15X
 
5
Other values (42)
55 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters956
Distinct characters20
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)13.4%

Sample

1st rowJ189
2nd rowO141
3rd rowO468
4th rowO141
5th rowO45X

Common Values

ValueCountFrequency (%)
O141123
51.5%
O72X34
 
14.2%
O14915
 
6.3%
O7217
 
2.9%
O15X5
 
2.1%
J1294
 
1.7%
O7223
 
1.3%
O2342
 
0.8%
D6962
 
0.8%
O2332
 
0.8%
Other values (37)42
 
17.6%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
o141123
51.5%
o72x34
 
14.2%
o14915
 
6.3%
o7217
 
2.9%
o15x5
 
2.1%
j1294
 
1.7%
o7223
 
1.3%
o2332
 
0.8%
j0692
 
0.8%
o9952
 
0.8%
Other values (37)42
 
17.6%

Most occurring characters

ValueCountFrequency (%)
1294
30.8%
O211
22.1%
4145
15.2%
264
 
6.7%
X50
 
5.2%
748
 
5.0%
940
 
4.2%
818
 
1.9%
515
 
1.6%
315
 
1.6%
Other values (10)56
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number667
69.8%
Uppercase Letter289
30.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O211
73.0%
X50
 
17.3%
J8
 
2.8%
D6
 
2.1%
N4
 
1.4%
I4
 
1.4%
K2
 
0.7%
R2
 
0.7%
G1
 
0.3%
A1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1294
44.1%
4145
21.7%
264
 
9.6%
748
 
7.2%
940
 
6.0%
818
 
2.7%
515
 
2.2%
315
 
2.2%
614
 
2.1%
014
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common667
69.8%
Latin289
30.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
O211
73.0%
X50
 
17.3%
J8
 
2.8%
D6
 
2.1%
N4
 
1.4%
I4
 
1.4%
K2
 
0.7%
R2
 
0.7%
G1
 
0.3%
A1
 
0.3%
Common
ValueCountFrequency (%)
1294
44.1%
4145
21.7%
264
 
9.6%
748
 
7.2%
940
 
6.0%
818
 
2.7%
515
 
2.2%
315
 
2.2%
614
 
2.1%
014
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1294
30.8%
O211
22.1%
4145
15.2%
264
 
6.7%
X50
 
5.2%
748
 
5.0%
940
 
4.2%
818
 
1.9%
515
 
1.6%
315
 
1.6%
Other values (10)56
 
5.9%

caus_agrup
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.041841004
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.957083225
Coefficient of variation (CV)0.95848953
Kurtosis3.333261968
Mean2.041841004
Median Absolute Deviation (MAD)0
Skewness2.128501983
Sum488
Variance3.830174748
MonotonicityNot monotonic
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1148
61.9%
252
 
21.8%
813
 
5.4%
410
 
4.2%
68
 
3.3%
75
 
2.1%
33
 
1.3%
ValueCountFrequency (%)
1148
61.9%
252
 
21.8%
33
 
1.3%
410
 
4.2%
68
 
3.3%
75
 
2.1%
813
 
5.4%
ValueCountFrequency (%)
813
 
5.4%
75
 
2.1%
68
 
3.3%
410
 
4.2%
33
 
1.3%
252
 
21.8%
1148
61.9%

caus_asoc1
Categorical

HIGH CORRELATION
MISSING

Distinct18
Distinct (%)54.5%
Missing206
Missing (%)86.2%
Memory size2.0 KiB
O149
11 
U071
N939
O11X
O141
Other values (13)
13 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters132
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)39.4%

Sample

1st rowO009
2nd rowR568
3rd rowO149
4th rowO149
5th rowO141

Common Values

ValueCountFrequency (%)
O14911
 
4.6%
U0713
 
1.3%
N9392
 
0.8%
O11X2
 
0.8%
O1412
 
0.8%
N9381
 
0.4%
R5681
 
0.4%
O4381
 
0.4%
A4191
 
0.4%
O0611
 
0.4%
Other values (8)8
 
3.3%
(Missing)206
86.2%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
o14911
33.3%
u0713
 
9.1%
o1412
 
6.1%
n9392
 
6.1%
o11x2
 
6.1%
g4081
 
3.0%
d5081
 
3.0%
o8421
 
3.0%
e6691
 
3.0%
a4191
 
3.0%
Other values (8)8
24.2%

Most occurring characters

ValueCountFrequency (%)
125
18.9%
O22
16.7%
921
15.9%
417
12.9%
09
 
6.8%
86
 
4.5%
36
 
4.5%
65
 
3.8%
N3
 
2.3%
X3
 
2.3%
Other values (9)15
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number96
72.7%
Uppercase Letter36
 
27.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
125
26.0%
921
21.9%
417
17.7%
09
 
9.4%
86
 
6.2%
36
 
6.2%
65
 
5.2%
73
 
3.1%
52
 
2.1%
22
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
O22
61.1%
N3
 
8.3%
X3
 
8.3%
U3
 
8.3%
R1
 
2.8%
G1
 
2.8%
D1
 
2.8%
E1
 
2.8%
A1
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
Common96
72.7%
Latin36
 
27.3%

Most frequent character per script

Common
ValueCountFrequency (%)
125
26.0%
921
21.9%
417
17.7%
09
 
9.4%
86
 
6.2%
36
 
6.2%
65
 
5.2%
73
 
3.1%
52
 
2.1%
22
 
2.1%
Latin
ValueCountFrequency (%)
O22
61.1%
N3
 
8.3%
X3
 
8.3%
U3
 
8.3%
R1
 
2.8%
G1
 
2.8%
D1
 
2.8%
E1
 
2.8%
A1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
18.9%
O22
16.7%
921
15.9%
417
12.9%
09
 
6.8%
86
 
4.5%
36
 
4.5%
65
 
3.8%
N3
 
2.3%
X3
 
2.3%
Other values (9)15
11.4%

caus_asoc2
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct6
Distinct (%)100.0%
Missing233
Missing (%)97.5%
Memory size2.0 KiB
O751
D696
P95X
K754
I10X

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters24
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowD696
2nd rowO751
3rd rowI10X
4th rowU071
5th rowP95X

Common Values

ValueCountFrequency (%)
O7511
 
0.4%
D6961
 
0.4%
P95X1
 
0.4%
K7541
 
0.4%
I10X1
 
0.4%
U0711
 
0.4%
(Missing)233
97.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
k7541
16.7%
d6961
16.7%
o7511
16.7%
p95x1
16.7%
u0711
16.7%
i10x1
16.7%

Most occurring characters

ValueCountFrequency (%)
73
12.5%
53
12.5%
13
12.5%
62
8.3%
92
8.3%
02
8.3%
X2
8.3%
D1
 
4.2%
O1
 
4.2%
I1
 
4.2%
Other values (4)4
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number16
66.7%
Uppercase Letter8
33.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X2
25.0%
D1
12.5%
O1
12.5%
I1
12.5%
U1
12.5%
P1
12.5%
K1
12.5%
Decimal Number
ValueCountFrequency (%)
73
18.8%
53
18.8%
13
18.8%
62
12.5%
92
12.5%
02
12.5%
41
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Common16
66.7%
Latin8
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
X2
25.0%
D1
12.5%
O1
12.5%
I1
12.5%
U1
12.5%
P1
12.5%
K1
12.5%
Common
ValueCountFrequency (%)
73
18.8%
53
18.8%
13
18.8%
62
12.5%
92
12.5%
02
12.5%
41
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
12.5%
53
12.5%
13
12.5%
62
8.3%
92
8.3%
02
8.3%
X2
8.3%
D1
 
4.2%
O1
 
4.2%
I1
 
4.2%
Other values (4)4
16.7%

caus_asoc3
Categorical

MISSING
UNIFORM

Distinct2
Distinct (%)100.0%
Missing237
Missing (%)99.2%
Memory size2.0 KiB
O800
E10X

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters6
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowO800
2nd rowE10X

Common Values

ValueCountFrequency (%)
O8001
 
0.4%
E10X1
 
0.4%
(Missing)237
99.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
e10x1
50.0%
o8001
50.0%

Most occurring characters

ValueCountFrequency (%)
03
37.5%
O1
 
12.5%
81
 
12.5%
E1
 
12.5%
11
 
12.5%
X1
 
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number5
62.5%
Uppercase Letter3
37.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O1
33.3%
E1
33.3%
X1
33.3%
Decimal Number
ValueCountFrequency (%)
03
60.0%
81
 
20.0%
11
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
Common5
62.5%
Latin3
37.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
O1
33.3%
E1
33.3%
X1
33.3%
Common
ValueCountFrequency (%)
03
60.0%
81
 
20.0%
11
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
03
37.5%
O1
 
12.5%
81
 
12.5%
E1
 
12.5%
11
 
12.5%
X1
 
12.5%

ndep_proce
Categorical

HIGH CORRELATION

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
SANTANDER
215 
CESAR
 
8
NORTE SANTANDER
 
5
BOLIVAR
 
5
ARAUCA
 
2
Other values (3)
 
4

Length

Max length15
Median length9
Mean length8.887029289
Min length5

Characters and Unicode

Total characters2124
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st rowSANTANDER
2nd rowSANTANDER
3rd rowSANTANDER
4th rowSANTANDER
5th rowSANTANDER

Common Values

ValueCountFrequency (%)
SANTANDER215
90.0%
CESAR8
 
3.3%
NORTE SANTANDER5
 
2.1%
BOLIVAR5
 
2.1%
ARAUCA2
 
0.8%
CHOCO2
 
0.8%
ANTIOQUIA1
 
0.4%
AMAZONAS1
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
santander220
90.2%
cesar8
 
3.3%
norte5
 
2.0%
bolivar5
 
2.0%
choco2
 
0.8%
arauca2
 
0.8%
amazonas1
 
0.4%
antioquia1
 
0.4%

Most occurring characters

ValueCountFrequency (%)
A464
21.8%
N447
21.0%
R240
11.3%
E233
11.0%
S229
10.8%
T226
10.6%
D220
10.4%
O16
 
0.8%
C14
 
0.7%
I7
 
0.3%
Other values (9)28
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2119
99.8%
Space Separator5
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A464
21.9%
N447
21.1%
R240
11.3%
E233
11.0%
S229
10.8%
T226
10.7%
D220
10.4%
O16
 
0.8%
C14
 
0.7%
I7
 
0.3%
Other values (8)23
 
1.1%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2119
99.8%
Common5
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
A464
21.9%
N447
21.1%
R240
11.3%
E233
11.0%
S229
10.8%
T226
10.7%
D220
10.4%
O16
 
0.8%
C14
 
0.7%
I7
 
0.3%
Other values (8)23
 
1.1%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A464
21.8%
N447
21.0%
R240
11.3%
E233
11.0%
S229
10.8%
T226
10.6%
D220
10.4%
O16
 
0.8%
C14
 
0.7%
I7
 
0.3%
Other values (9)28
 
1.3%

nmun_proce
Categorical

HIGH CORRELATION

Distinct34
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
BUCARAMANGA
112 
FLORIDABLANCA
30 
GIRON
25 
PIEDECUESTA
17 
AGUACHICA
 
5
Other values (29)
50 

Length

Max length22
Median length11
Mean length10.40585774
Min length4

Characters and Unicode

Total characters2487
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)6.7%

Sample

1st rowFLORIDABLANCA
2nd rowBUCARAMANGA
3rd rowBUCARAMANGA
4th rowSURATA
5th rowBUCARAMANGA

Common Values

ValueCountFrequency (%)
BUCARAMANGA112
46.9%
FLORIDABLANCA30
 
12.6%
GIRON25
 
10.5%
PIEDECUESTA17
 
7.1%
AGUACHICA5
 
2.1%
SANTA ROSA DEL SUR4
 
1.7%
SABANA DE TORRES4
 
1.7%
SAN GIL3
 
1.3%
BARRANCABERMEJA3
 
1.3%
SAN ALBERTO3
 
1.3%
Other values (24)33
 
13.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
bucaramanga112
40.1%
floridablanca30
 
10.8%
giron25
 
9.0%
piedecuesta17
 
6.1%
san9
 
3.2%
de6
 
2.2%
aguachica5
 
1.8%
rosa4
 
1.4%
sabana4
 
1.4%
del4
 
1.4%
Other values (36)63
22.6%

Most occurring characters

ValueCountFrequency (%)
A656
26.4%
R217
 
8.7%
N196
 
7.9%
C190
 
7.6%
B163
 
6.6%
U148
 
6.0%
G148
 
6.0%
M118
 
4.7%
I99
 
4.0%
E93
 
3.7%
Other values (18)459
18.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2445
98.3%
Space Separator40
 
1.6%
Open Punctuation1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A656
26.8%
R217
 
8.9%
N196
 
8.0%
C190
 
7.8%
B163
 
6.7%
U148
 
6.1%
G148
 
6.1%
M118
 
4.8%
I99
 
4.0%
E93
 
3.8%
Other values (15)417
17.1%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2445
98.3%
Common42
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
A656
26.8%
R217
 
8.9%
N196
 
8.0%
C190
 
7.8%
B163
 
6.7%
U148
 
6.1%
G148
 
6.1%
M118
 
4.8%
I99
 
4.0%
E93
 
3.8%
Other values (15)417
17.1%
Common
ValueCountFrequency (%)
40
95.2%
(1
 
2.4%
)1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII2486
> 99.9%
Latin 1 Sup1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A656
26.4%
R217
 
8.7%
N196
 
7.9%
C190
 
7.6%
B163
 
6.6%
U148
 
6.0%
G148
 
6.0%
M118
 
4.7%
I99
 
4.0%
E93
 
3.7%
Other values (17)458
18.4%
Latin 1 Sup
ValueCountFrequency (%)
Ñ1
100.0%

ndep_resi
Categorical

HIGH CORRELATION

Distinct10
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
SANTANDER
213 
CESAR
 
8
NORTE SANTANDER
 
5
BOLIVAR
 
5
ARAUCA
 
2
Other values (5)
 
6

Length

Max length15
Median length9
Mean length8.853556485
Min length5

Characters and Unicode

Total characters2116
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)1.7%

Sample

1st rowSANTANDER
2nd rowSANTANDER
3rd rowSANTANDER
4th rowSANTANDER
5th rowSANTANDER

Common Values

ValueCountFrequency (%)
SANTANDER213
89.1%
CESAR8
 
3.3%
NORTE SANTANDER5
 
2.1%
BOLIVAR5
 
2.1%
ARAUCA2
 
0.8%
CHOCO2
 
0.8%
VALLE1
 
0.4%
SUCRE1
 
0.4%
ANTIOQUIA1
 
0.4%
AMAZONAS1
 
0.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
santander218
89.3%
cesar8
 
3.3%
norte5
 
2.0%
bolivar5
 
2.0%
choco2
 
0.8%
arauca2
 
0.8%
valle1
 
0.4%
amazonas1
 
0.4%
antioquia1
 
0.4%
sucre1
 
0.4%

Most occurring characters

ValueCountFrequency (%)
A461
21.8%
N443
20.9%
R239
11.3%
E233
11.0%
S228
10.8%
T224
10.6%
D218
10.3%
O16
 
0.8%
C15
 
0.7%
L7
 
0.3%
Other values (9)32
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2111
99.8%
Space Separator5
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A461
21.8%
N443
21.0%
R239
11.3%
E233
11.0%
S228
10.8%
T224
10.6%
D218
10.3%
O16
 
0.8%
C15
 
0.7%
L7
 
0.3%
Other values (8)27
 
1.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2111
99.8%
Common5
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
A461
21.8%
N443
21.0%
R239
11.3%
E233
11.0%
S228
10.8%
T224
10.6%
D218
10.3%
O16
 
0.8%
C15
 
0.7%
L7
 
0.3%
Other values (8)27
 
1.3%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A461
21.8%
N443
20.9%
R239
11.3%
E233
11.0%
S228
10.8%
T224
10.6%
D218
10.3%
O16
 
0.8%
C15
 
0.7%
L7
 
0.3%
Other values (9)32
 
1.5%

nmun_resi
Categorical

HIGH CORRELATION

Distinct37
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
BUCARAMANGA
111 
FLORIDABLANCA
28 
GIRON
25 
PIEDECUESTA
17 
AGUACHICA
 
5
Other values (32)
53 

Length

Max length22
Median length11
Mean length10.38075314
Min length4

Characters and Unicode

Total characters2481
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)7.9%

Sample

1st rowFLORIDABLANCA
2nd rowBUCARAMANGA
3rd rowBUCARAMANGA
4th rowSURATA
5th rowBUCARAMANGA

Common Values

ValueCountFrequency (%)
BUCARAMANGA111
46.4%
FLORIDABLANCA28
 
11.7%
GIRON25
 
10.5%
PIEDECUESTA17
 
7.1%
AGUACHICA5
 
2.1%
SABANA DE TORRES4
 
1.7%
SANTA ROSA DEL SUR4
 
1.7%
SAN GIL3
 
1.3%
BARRANCABERMEJA3
 
1.3%
SAN ALBERTO3
 
1.3%
Other values (27)36
 
15.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
bucaramanga111
39.6%
floridablanca28
 
10.0%
giron25
 
8.9%
piedecuesta17
 
6.1%
san9
 
3.2%
de6
 
2.1%
aguachica5
 
1.8%
torres4
 
1.4%
del4
 
1.4%
rosa4
 
1.4%
Other values (40)67
23.9%

Most occurring characters

ValueCountFrequency (%)
A655
26.4%
R214
 
8.6%
N197
 
7.9%
C191
 
7.7%
B160
 
6.4%
U147
 
5.9%
G146
 
5.9%
M116
 
4.7%
I100
 
4.0%
E95
 
3.8%
Other values (18)460
18.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2438
98.3%
Space Separator41
 
1.7%
Open Punctuation1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A655
26.9%
R214
 
8.8%
N197
 
8.1%
C191
 
7.8%
B160
 
6.6%
U147
 
6.0%
G146
 
6.0%
M116
 
4.8%
I100
 
4.1%
E95
 
3.9%
Other values (15)417
17.1%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2438
98.3%
Common43
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
A655
26.9%
R214
 
8.8%
N197
 
8.1%
C191
 
7.8%
B160
 
6.6%
U147
 
6.0%
G146
 
6.0%
M116
 
4.8%
I100
 
4.1%
E95
 
3.9%
Other values (15)417
17.1%
Common
ValueCountFrequency (%)
41
95.3%
(1
 
2.3%
)1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII2480
> 99.9%
Latin 1 Sup1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A655
26.4%
R214
 
8.6%
N197
 
7.9%
C191
 
7.7%
B160
 
6.5%
U147
 
5.9%
G146
 
5.9%
M116
 
4.7%
I100
 
4.0%
E95
 
3.8%
Other values (17)459
18.5%
Latin 1 Sup
ValueCountFrequency (%)
Ñ1
100.0%

ndep_notif
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing9
Missing (%)3.8%
Memory size2.0 KiB
SANTANDER
230 

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters2070
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSANTANDER
2nd rowSANTANDER
3rd rowSANTANDER
4th rowSANTANDER
5th rowSANTANDER

Common Values

ValueCountFrequency (%)
SANTANDER230
96.2%
(Missing)9
 
3.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
santander230
100.0%

Most occurring characters

ValueCountFrequency (%)
A460
22.2%
N460
22.2%
S230
11.1%
T230
11.1%
D230
11.1%
E230
11.1%
R230
11.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2070
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A460
22.2%
N460
22.2%
S230
11.1%
T230
11.1%
D230
11.1%
E230
11.1%
R230
11.1%

Most occurring scripts

ValueCountFrequency (%)
Latin2070
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A460
22.2%
N460
22.2%
S230
11.1%
T230
11.1%
D230
11.1%
E230
11.1%
R230
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII2070
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A460
22.2%
N460
22.2%
S230
11.1%
T230
11.1%
D230
11.1%
E230
11.1%
R230
11.1%

nmun_notif
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.4%
Missing9
Missing (%)3.8%
Memory size2.0 KiB
BUCARAMANGA
230 

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2530
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBUCARAMANGA
2nd rowBUCARAMANGA
3rd rowBUCARAMANGA
4th rowBUCARAMANGA
5th rowBUCARAMANGA

Common Values

ValueCountFrequency (%)
BUCARAMANGA230
96.2%
(Missing)9
 
3.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
bucaramanga230
100.0%

Most occurring characters

ValueCountFrequency (%)
A920
36.4%
B230
 
9.1%
U230
 
9.1%
C230
 
9.1%
R230
 
9.1%
M230
 
9.1%
N230
 
9.1%
G230
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter2530
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A920
36.4%
B230
 
9.1%
U230
 
9.1%
C230
 
9.1%
R230
 
9.1%
M230
 
9.1%
N230
 
9.1%
G230
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Latin2530
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A920
36.4%
B230
 
9.1%
U230
 
9.1%
C230
 
9.1%
R230
 
9.1%
M230
 
9.1%
N230
 
9.1%
G230
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII2530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A920
36.4%
B230
 
9.1%
U230
 
9.1%
C230
 
9.1%
R230
 
9.1%
M230
 
9.1%
N230
 
9.1%
G230
 
9.1%

nreg
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct239
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.8661088
Minimum1
Maximum409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB

Quantile statistics

Minimum1
5-th percentile21.9
Q1131.5
median226
Q3312.5
95-th percentile396.1
Maximum409
Range408
Interquartile range (IQR)181

Descriptive statistics

Standard deviation113.6542693
Coefficient of variation (CV)0.5216702584
Kurtosis-1.033468223
Mean217.8661088
Median Absolute Deviation (MAD)88
Skewness-0.1343557256
Sum52070
Variance12917.29292
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4091
 
0.4%
1511
 
0.4%
1701
 
0.4%
1691
 
0.4%
1631
 
0.4%
1621
 
0.4%
1611
 
0.4%
1601
 
0.4%
1591
 
0.4%
1581
 
0.4%
Other values (229)229
95.8%
ValueCountFrequency (%)
11
0.4%
31
0.4%
81
0.4%
91
0.4%
121
0.4%
131
0.4%
141
0.4%
151
0.4%
171
0.4%
191
0.4%
ValueCountFrequency (%)
4091
0.4%
4071
0.4%
4061
0.4%
4051
0.4%
4041
0.4%
4031
0.4%
4021
0.4%
4011
0.4%
4001
0.4%
3991
0.4%

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

fec_notsemanacod_precod_subtip_ide_num_ide_edad_nombre_nacionalidadcod_dpto_ocod_mun_oarea_ocupacion_tip_ss_cod_ase_estrato_gp_discapagp_desplazgp_migrantgp_gestansem_ges_gp_otrosfuentecod_dpto_rcod_mun_rfec_con_pac_hos_fec_hos_ajuste_fecha_nto_fec_aju_pte_remtdacodinst_r1inst_refe1tiem_remisnum_gestacnum_parvagnum_cesarenum_abortonum_molasnum_ectopinum_muertonum_vivosfec_ul_gesno_con_presem_c_prenterm_gestamoc_rel_tgfalla_cardfalla_renafalla_hepafalla_cerefalla_respfalla_coageclampsiapreclampsichoq_septihemorragia_obstétrica_severacir_adiciottl_critercir_adic_1fec_egresodias_hospiegresocaus_princcaus_agrupcaus_asoc1caus_asoc2caus_asoc3ndep_procenmun_procendep_resinmun_resindep_notifnmun_notifnreg
02021-01-06168001007921CC109582601825COLOMBIA6827639996SESS0622.02222NaN11682762020-12-3012020-12-30 00:00:0071995-08-022021-01-1216.827601e+11ESE HOSPITAL SAN JUAN DE DIOS DE FLORIDABLANCA30.0303000032020-12-28 00:00:0041443122212212223NaN2021-01-08 00:00:0092.0J1896NaNNaNNaNSANTANDERFLORIDABLANCASANTANDERFLORIDABLANCASANTANDERBUCARAMANGA3
12021-03-111068001007921CC100513650524COLOMBIA68119996SESS024NaN222137.0116812021-03-1012021-03-10 00:00:0071996-09-232021-03-1816.800101e+11HOSPITAL LOCAL DEL NORTE30.010100001- -0042221222222221NaN2021-03-16 00:00:0061.0O1411NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA348
22021-03-101068001011571CC109590634435COLOMBIA68119999CEPS0053.0222139.0216812021-03-0912021-03-09 00:00:0071986-01-182021-04-292NaNNaNNaN211000022021-03-09 00:00:007841122222222122NaN2021-03-13 00:00:0041.0O4682NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA369
32021-03-091068001007921CC109861351335COLOMBIA6878039996SESS024NaN222135.011687802021-03-0912021-03-09 00:00:0071985-08-212021-03-212NaNNaNNaN202000022021-03-08 00:00:0051042221222212222NaN2021-03-21 00:00:00121.0O1411NaNNaNNaNSANTANDERSURATASANTANDERSURATASANTANDERBUCARAMANGA97
42021-03-101068276016661CC109878803924COLOMBIA68119996CEPS0372.02222NaN116812021-03-0812021-03-08 00:00:0071996-07-122021-04-242NaNNaNNaN421100032019-09-04 00:00:006942222222222121NaN2021-03-11 00:00:0031.0O45X2NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGANaNNaN363
52021-03-071068001011571CC2760118039COLOMBIA68119996SEPSS052.0222136.0216812021-03-0712021-03-07 00:00:0071981-06-272021-04-292NaNNaNNaN302100026/14/020051342122222222122NaN2021-03-08 00:00:0011.0O72X2NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA367
62021-03-071068001011571CC3751449943COLOMBIA68119999CEPS0054.0222138.0216812021-03-0712021-03-07 00:00:0071977-03-112021-04-292NaNNaNNaN210000011996-12-26 00:00:007741122222212222NaN2021-03-11 00:00:0041.0O1411NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA365
72021-03-091068001007921CEVEN2874439918VENEZUELA68119996NNaNNaN221130.0116812021-03-0912021-03-09 00:00:0072002-05-292021-03-182NaNNaNNaN10000000- -21052222212221222NaN2021-03-16 00:00:0071.0O2344NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA350
82021-03-161168001007921CC105257097434COLOMBIA1368819996SEPSS37NaN222123.011136882021-03-1512021-03-15 00:00:0071987-01-122021-03-2112.001100e+11HOSPITAL LOCAL DE AGUACHICA ESE30.0402200022021-03-14 00:00:000041121222212223NaN2021-03-18 00:00:0031.0O1411NaNNaNNaNBOLIVARSANTA ROSA DEL SURBOLIVARSANTA ROSA DEL SURSANTANDERBUCARAMANGA96
92021-03-181168001007921CC109861942835COLOMBIA68119996SEPSS41NaN222132.0116812021-03-1812021-03-18 00:00:0071986-01-102021-03-2116.800101e+11HOSPITAL LOCAL DEL NORTE30.0402200022021-03-11 00:00:000041122222212222NaN2021-03-19 00:00:0011.0O1411NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA352

Last rows

fec_notsemanacod_precod_subtip_ide_num_ide_edad_nombre_nacionalidadcod_dpto_ocod_mun_oarea_ocupacion_tip_ss_cod_ase_estrato_gp_discapagp_desplazgp_migrantgp_gestansem_ges_gp_otrosfuentecod_dpto_rcod_mun_rfec_con_pac_hos_fec_hos_ajuste_fecha_nto_fec_aju_pte_remtdacodinst_r1inst_refe1tiem_remisnum_gestacnum_parvagnum_cesarenum_abortonum_molasnum_ectopinum_muertonum_vivosfec_ul_gesno_con_presem_c_prenterm_gestamoc_rel_tgfalla_cardfalla_renafalla_hepafalla_cerefalla_respfalla_coageclampsiapreclampsichoq_septihemorragia_obstétrica_severacir_adiciottl_critercir_adic_1fec_egresodias_hospiegresocaus_princcaus_agrupcaus_asoc1caus_asoc2caus_asoc3ndep_procenmun_procendep_resinmun_resindep_notifnmun_notifnreg
2292021-02-26868001004311CC109235348728COLOMBIA68119999SESS133NaN222131.0216812021-02-2612021-02-26 00:00:0001992-11-062021-06-132NaNNaNNaN402100002021-02-27 00:00:000041122222212222NaN2021-03-01 00:00:0031.0O1411NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA315
2302021-02-23868001004311CC109581019529COLOMBIA6827619999CEPS010NaN2222NaN11682762021-02-2312021-02-23 00:00:0001991-10-092021-06-132NaNNaNNaN11000001- -0023222222221221NaN2021-03-01 00:00:0061.0O9114NaNNaNNaNSANTANDERFLORIDABLANCASANTANDERFLORIDABLANCASANTANDERBUCARAMANGA316
2312021-02-22868001007011CC113008402222COLOMBIA68119999SEPSS052.02222NaN116812021-02-1912021-02-19 00:00:0001998-03-272021-02-222NaNNaNNaN11000001- -61423222222222121NaN2021-02-21 00:00:0021.0O72X2NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA79
2322021-02-23868001004311CC2813460837COLOMBIA6830739999CESSC24NaN2222NaN11683072021-02-2312021-02-23 00:00:0001983-11-222021-06-132NaNNaNNaN403100032021-02-09 00:00:000043122222212222NaN2021-02-25 00:00:0021.0O1411NaNNaNNaNSANTANDERGIRONSANTANDERGIRONSANTANDERBUCARAMANGA317
2332021-02-21868001004311CC3784402840COLOMBIA68119999CEPS010NaN2222NaN116812021-02-2112021-02-21 00:00:0001981-04-242021-06-132NaNNaNNaN201100012021-02-15 00:00:000043122222212222NaN2021-02-23 00:00:0021.0O1411NaNNaNNaNSANTANDERBUCARAMANGASANTANDERBUCARAMANGASANTANDERBUCARAMANGA318
2342021-02-23868001004311CC6355753036COLOMBIA6827619999CEPS010NaN222118.021682762021-02-2312021-02-23 00:00:0001985-02-082021-06-152NaNNaNNaN10100001- -0051222222221221NaN2021-02-27 00:00:0041.0O2334NaNNaNNaNSANTANDERFLORIDABLANCASANTANDERFLORIDABLANCASANTANDERBUCARAMANGA333
2352021-03-02968001007921CC106524081527COLOMBIA2071019996SESS062NaN222127.011207102021-02-2812021-02-28 00:00:0001993-04-032021-03-022NaNNaNNaN430000032017-02-01 00:00:000052122222212222NaN- -0NaNO1411NaNNaNNaNCESARSAN ALBERTOCESARSAN ALBERTOSANTANDERBUCARAMANGA84
2362021-03-02968001011571CC109593391027COLOMBIA6827619996CEPS0173.0222139.021682762021-03-0212021-03-02 00:00:0001993-09-162021-03-052NaNNaNNaN330000032021-03-02 00:00:00616232222222221123.02021-03-04 00:00:0021.0O7212NaNNaNNaNSANTANDERFLORIDABLANCASANTANDERFLORIDABLANCASANTANDERBUCARAMANGA86
2372021-02-28968001004311CC109871377429COLOMBIA6830719999CEPS005NaN222138.021683072021-02-2812021-02-28 00:00:0001991-09-262021-06-132NaNNaNNaN201000012021-02-28 00:00:000041122222212222NaN2021-03-02 00:00:0021.0O1411NaNNaNNaNSANTANDERGIRONSANTANDERGIRONSANTANDERBUCARAMANGA314
2382021-02-28968001004311CC111678750131COLOMBIA81139999SESS133NaN222112.0218112021-02-1112021-02-11 00:00:0001989-08-042021-06-152NaNNaNNaN430000032018-01-01 00:00:000052222212221222NaN2021-03-18 00:00:00351.0J1296NaNNaNNaNARAUCAARAUCAARAUCAARAUCASANTANDERBUCARAMANGA329